# Hardware Implementation of Multimodal Biometric using Fingerprint and Iris

arXiv: https://arxiv.org/abs/2201.05996 · HTML: https://mlsanity.com/paper/2201.05996/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 36 references that are in the map.
- First posted on arXiv 16 Jan 2022.

## Built on by (most cited first, 2 of 2)

- [A Robust Algorithm for Contactless Fingerprint Enhancement and Matching](https://mlsanity.com/paper/2408.09426/) (2024)
- [Latent fingerprint enhancement for accurate minutiae detection](https://mlsanity.com/paper/2409.11802/) (2024)

## Abstract (arXiv)

In this paper, a hardware architecture of a multimodal biometric system is presented that massively exploits the inherent parallelism. The proposed system is based on multiple biometric fusion that uses two biometric traits, fingerprint and iris. Each biometric trait is first optimised at the software level, by addressing some of the issues that directly affect the FAR and FRR. Then the hardware architectures for both biometric traits are presented, followed by a final multimodal hardware architecture. To the best of the author's knowledge, no other FPGA-based design exits that used these two traits.